Paper Citation Record · LEDGER

Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2303.04360.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2303.04360 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:51:08.139093Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-11T02:27:47.699752Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 95ef8206-3eda-48bd-b6e4-b412ed75cd5b · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 285

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:13:52.938360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3d103f9c-e8fe-4d07-bdaa-dd3697c50cdf · inbound

A Survey on Knowledge Distillation of Large Language Models cites this paper.

A Survey on Knowledge Distillation of Large Language Models Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T23:31:11.535788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3a8cb4c7-59b2-44b4-ad8e-945c14a933e2 · inbound

Rephrasing Electronic Health Records for Pretraining Clinical Language Models cites this paper.

Rephrasing Electronic Health Records for Pretraining Clinical Language Models Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T10:47:26.096461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03ee9cf2-57c0-4197-a214-fde9538c18e8 · inbound

MIMDE: Exploring the Use of Synthetic vs Human Data for Evaluating Multi-Insight Multi-Document Extraction Tasks cites this paper.

MIMDE: Exploring the Use of Synthetic vs Human Data for Evaluating Multi-Insight Multi-Document Extraction Tasks Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T05:58:26.908417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df97eeee-7fcd-4740-a85c-f589319b50df · inbound

Financial Sentiment Analysis: Leveraging Actual and Synthetic Data for Supervised Fine-tuning cites this paper.

Financial Sentiment Analysis: Leveraging Actual and Synthetic Data for Supervised Fine-tuning Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T16:42:52.795877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83848c63-756c-4a7f-911e-84c9922d1bc9 · inbound

Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health cites this paper.

Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T13:35:20.061356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7e3493e-a2ed-4ae4-9fc9-44c92dfd4ddd · inbound

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future cites this paper.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 266

Resolution: unresolved; no resolver link, observed 2026-08-11T12:33:41.559034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d63531d7-faee-4afe-a768-059df764ea6b · inbound

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications cites this paper.

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-09T17:43:55.797446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88961415-f3c5-4ff9-ae76-2c2f143f1740 · inbound

Language Agents as Digital Representatives in Collective Decision-Making cites this paper.

Language Agents as Digital Representatives in Collective Decision-Making Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T21:50:02.902647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ea400be-c107-4d6f-bc73-395cd7f0d34f · inbound

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study cites this paper.

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:57:22.861148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a5659459-1dec-4c59-a7a7-8baf72d08f6f · inbound

Less is More: Adaptive Coverage for Synthetic Training Data cites this paper.

Less is More: Adaptive Coverage for Synthetic Training Data Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T11:51:08.139093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee98df98-2a76-4b00-a0a0-df5a5ce1d19e · inbound

Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation cites this paper.

Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T10:12:37.888736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35bef280-209e-45f6-9de9-473a227e9822 · inbound

Multimodal Large Language Models for Medicine: A Comprehensive Survey cites this paper.

Multimodal Large Language Models for Medicine: A Comprehensive Survey Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 144

Resolution: unresolved; no resolver link, observed 2026-08-16T05:32:54.496882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c385b0d-930d-4db0-a592-7018b984e441 · inbound

Multi-agents based User Values Mining for Recommendation cites this paper.

Multi-agents based User Values Mining for Recommendation Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T04:34:36.579940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c34193-f730-482b-b8ca-562e6c447536 · inbound

The Aloe Family Recipe for Open and Specialized Healthcare LLMs cites this paper.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T23:36:29.892348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d3e8b06-ec9f-4e7f-b927-02235e13d731 · inbound

AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection cites this paper.

AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T23:44:29.331605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c64b116-6d76-463a-a6d4-d8a59049c6f0 · inbound

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning cites this paper.

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:01.932113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c5d1ce1-0684-436d-ad0d-fb13422f075d · inbound

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:53.186301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ef5998b-8c94-41ea-9df5-83f4088f51b5 · inbound

Pre-Trained AI Model Assisted Online Decision-Making under Missing Covariates: A Theoretical Perspective cites this paper.

Pre-Trained AI Model Assisted Online Decision-Making under Missing Covariates: A Theoretical Perspective Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:08.032155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 765bfdcc-5f7f-423c-9484-3e31ba60923c · inbound

Separation Logic of Generic Resources via Sheafeology cites this paper.

Separation Logic of Generic Resources via Sheafeology Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T05:22:30.448718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54fea00a-5dbf-476b-857f-c0d96cfd11e2 · inbound

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement cites this paper.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T13:27:27.992288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f47cdd3-bf93-49af-8e77-6f2b6bc94523 · inbound

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset cites this paper.

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:16:38.185815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ea79ec80-d287-4cab-a2c6-71e9a83fba08 · inbound

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset cites this paper.

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T22:31:36.716586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fa55e75-0320-4136-8702-73faee6b6db6 · inbound

Generating High Quality Synthetic Data for Dutch Medical Conversations cites this paper.

Generating High Quality Synthetic Data for Dutch Medical Conversations Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T00:38:23.287285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fdc8c870-4740-4592-9e86-e3833f9e5aa4 · inbound

TabEmb: Joint Semantic-Structure Embedding for Table Annotation cites this paper.

TabEmb: Joint Semantic-Structure Embedding for Table Annotation Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:41:02.231459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ce888236-f7be-4ec0-a3fa-bc3c0ec89b16 · inbound

BioGraphletQA: Knowledge-Anchored Generation of Complex QA Datasets cites this paper.

BioGraphletQA: Knowledge-Anchored Generation of Complex QA Datasets Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:41:17.908011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d013294f-ae33-431d-b5ad-56f69e06ac6e · inbound

Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale cites this paper.

Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:48:15.143446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17e6a343-43dc-4179-a83b-8d7c771f436d · inbound

BEATS: Bootstrapping E-commerce Attribute Taxonomies for Search through Iterative Human-AI Collaboration cites this paper.

BEATS: Bootstrapping E-commerce Attribute Taxonomies for Search through Iterative Human-AI Collaboration Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:26:54.209550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation edb6ee6b-df70-46f4-a34a-13bae324b16a · inbound

Task Decomposition for Efficient Annotation cites this paper.

Task Decomposition for Efficient Annotation Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:59:58.909388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5018278c-0554-4737-990c-b3c080f7dadf · inbound

Synthetic Consumer Insight Generation with Large Language Models cites this paper.

Synthetic Consumer Insight Generation with Large Language Models Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-11T02:27:47.717255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 78032c14-7c07-43cb-ad3e-353536f8ee0c · inbound

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles cites this paper.

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 205

Resolution: unresolved; no resolver link, observed 2026-08-01T17:38:09.531460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98b4bc94-bbf2-42f1-a04b-11adffb81a56 · inbound

Decomposed Entailment for Factuality Checking and Hallucination Detection cites this paper.

Decomposed Entailment for Factuality Checking and Hallucination Detection Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T22:53:05.460393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.